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27071 - 27080 von 31599

	27071	Optimal design of passive micromixers using the combination of computational fluid dynamics and machine learning Enthalten in Associação Brasileira de Engenharia e Ciências Mecânicas: Journal of the Brazilian Society of Mechanical Sciences and Engineering Bd. 47, 22.3.2025, Nr. 4, date:4.2025: 1-20
	27072	Optimal design of renewable energy based hybrid system considering weather forecasting using machine learning techniques Enthalten in Electrical engineering Bd. 105, 31.7.2023, Nr. 6, date:12.2023: 4229-4249
	27073	Optimal feature with modified bi-directional long short-term memory for big data classification in healthcare application Enthalten in International journal of information technology Bd. 16, 13.7.2024, Nr. 7, date:10.2024: 4441-4450
	27074	Optimal free space optical fronthaul framework for 5G Cran Enthalten in International journal of information technology Bd. 15, 19.7.2023, Nr. 6, date:8.2023: 3327-3334
	27075	Optimal inputs for machine learning models in predicting total joint arthroplasty outcomes: a systematic review Enthalten in European journal of orthopaedic surgery & traumatology Bd. 34, 30.8.2024, Nr. 8, date:12.2024: 3809-3825
	27076	Optimal iterative learning PI controller for SISO and MIMO processes with machine learning validation for performance prediction Enthalten in Scientific reports Bd. 14, 9.10.2024, Nr. 1, date:12.2024: 1-25
	27077	Optimal large-scale stochastic optimization of NDCG surrogates for deep learning Enthalten in Machine learning Bd. 114, 27.1.2025, Nr. 2, date:2.2025: 1-70
	27078	Optimal length of R–R interval segment window for Lorenz plot detection of paroxysmal atrial fibrillation by machine learning Enthalten in Biomedical engineering online Bd. 19, 16.6.2020, Nr. 1, date:12.2020: 1-18
	27079	Optimal linear B-spline approximation via Kolmogorov superposition theorem and its applications Enthalten in Sampling theory, signal processing, and data analysis Bd. 23, 3.7.2025, Nr. 2, date:12.2025: 1-23
	27080	Optimal machine learning for detecting lathe machining parameters Enthalten in The international journal of advanced manufacturing technology Bd. 128, 19.7.2023, Nr. 1-2, date:9.2023: 779-788

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